• Acta Physica Sinica
  • Vol. 69, Issue 9, 090202-1 (2020)
Ying-Ke Li1、*, Shi Zhao2, Yi-Jun Lou3, Dao-Zhou Gao4, Lin Yang5, and Dai-Hai He3、*
Author Affiliations
  • 1College of Mathematics and Physics, Xinjiang Agriculture University, Urumqi 830052, China
  • 2JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong 999077, China
  • 3Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong 999077, China
  • 4Department of Mathematics, Shanghai Normal University, Shanghai 200234, China
  • 5School of Nursing, Hong Kong Polytechnic University, Hong Kong 999077, China
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    DOI: 10.7498/aps.69.20200389 Cite this Article
    Ying-Ke Li, Shi Zhao, Yi-Jun Lou, Dao-Zhou Gao, Lin Yang, Dai-Hai He. Epidemiological parameters and models of coronavirus disease 2019[J]. Acta Physica Sinica, 2020, 69(9): 090202-1 Copy Citation Text show less

    Abstract

    The coronavirus disease 2019 (COVID-19) has become a major public health concern internationally. To capture the epidemic growing patterns and quantify the transmissibility, some key epidemiological parameters and dynamic models are of significance for helping us to understand the features of COVID-19 and thus informing the strategic decision-making in combating the outbreak. In this study, we review and summarize the recently released research results about the reproduction numbers, incubation period and serial interval of COVID-19. We summarize the estimates as well as estimation approaches adopted to calculate these epidemiological parameters in the existing literature. These studies found that the basic reproduction number is estimated at 2.6, the mean incubation period at about 5.0 days, and the mean serial interval at about 5.5 days. The COVID-19 infections can increase rapidly if it is not controlled. The control measures including the isolation, quarantine, contact tracing, improvement of public awareness, and adoption of self-protection measures can effectively mitigate the COVID-19 outbreak.
    Ying-Ke Li, Shi Zhao, Yi-Jun Lou, Dao-Zhou Gao, Lin Yang, Dai-Hai He. Epidemiological parameters and models of coronavirus disease 2019[J]. Acta Physica Sinica, 2020, 69(9): 090202-1
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